Literature DB >> 2056265

Computer model of excitation and recovery in the anisotropic myocardium. II. Excitation in the simplified left ventricle.

L J Leon1, B M Horácek.   

Abstract

A computer model of propagated excitation and recovery in anisotropic cardiac tissue was described in the first report of this series. The model consists of a large number of excitable elements whose subthreshold interactions are governed by the anisotropic bidomain theory but whose suprathreshold behavior (action potential) is largely preassigned. As described in the first report, the model's performance was tested in rectangular and cubic arrays of excitable elements. This second report deals with three-dimensional simulations in a simplified left ventricle with anisotropy; specifically, the activation process in the "normal" ventricle is described (exemplified by the activation sequences started from various endocardial, intramural, and epicardial sites). To further substantiate our model's validity, we compare simulated epicardial and body-surface potential distributions with experimental findings in isolated canine hearts and with clinical evidence provided by electrocardiographic body-surface mapping.

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Year:  1991        PMID: 2056265     DOI: 10.1016/0022-0736(91)90078-z

Source DB:  PubMed          Journal:  J Electrocardiol        ISSN: 0022-0736            Impact factor:   1.438


  4 in total

1.  Conversion of left ventricular endocardial positions from patient-independent co-ordinates into biplane fluoroscopic projections.

Authors:  M Potse; R Hoekema; A C Linnenbank; A SippensGroenewegen; J Strackee; Bakker J M T de; C A Grimbergen
Journal:  Med Biol Eng Comput       Date:  2002-01       Impact factor: 2.602

2.  Patient-specific modeling of the heart: estimation of ventricular fiber orientations.

Authors:  Fijoy Vadakkumpadan; Hermenegild Arevalo; Natalia A Trayanova
Journal:  J Vis Exp       Date:  2013-01-08       Impact factor: 1.355

3.  Arrhythmia risk stratification of patients after myocardial infarction using personalized heart models.

Authors:  Hermenegild J Arevalo; Fijoy Vadakkumpadan; Eliseo Guallar; Alexander Jebb; Peter Malamas; Katherine C Wu; Natalia A Trayanova
Journal:  Nat Commun       Date:  2016-05-10       Impact factor: 14.919

4.  In-silico human electro-mechanical ventricular modelling and simulation for drug-induced pro-arrhythmia and inotropic risk assessment.

Authors:  Francesca Margara; Zhinuo J Wang; Francesc Levrero-Florencio; Alfonso Santiago; Mariano Vázquez; Alfonso Bueno-Orovio; Blanca Rodriguez
Journal:  Prog Biophys Mol Biol       Date:  2020-07-22       Impact factor: 3.667

  4 in total

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